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LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
The surgical environment imposes unique challenges to the intraoperative registration of organ shapes to their preoperatively-imaged geometry.
Comparing Regularized Kelvinlet Functions and the Finite Element Method for Registration of Medical Images to Sparse Organ Data
Average target registration errors were 4. 6 +/- 1. 0 and 3. 2 +/- 0. 8 mm on the liver dataset and 5. 4 +/- 1. 4 and 6. 4 +/- 1. 5 mm on the breast dataset for the regularized Kelvinlets and finite element method models, respectively.
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